AnalystPath

Same-Day Ticket Resolution Rate

SQLEasyJunior level~15 min

Problem

Table: `Tickets`

```text
+-------------+---------+
| Column | Type |
+-------------+---------+
| ticket_id | int |
| user_id | int |
| opened_on | date |
| resolved_on | date |
+-------------+---------+
ticket_id is the primary key. Each row is one support ticket.
```

A ticket is **same-day** if it was resolved on the day it was opened
(`resolved_on` equals `opened_on`). Return the percentage of same-day tickets
across all tickets, rounded to 2 decimal places. Use the column heading
`same_day_pct`.

**Example**

```text
Tickets:
+-----------+---------+------------+-------------+
| ticket_id | user_id | opened_on | resolved_on |
+-----------+---------+------------+-------------+
| 1 | 10 | 2024-01-05 | 2024-01-05 |
| 2 | 11 | 2024-01-06 | 2024-01-08 |
| 3 | 12 | 2024-01-07 | 2024-01-07 |
+-----------+---------+------------+-------------+

Output:
+--------------+
| same_day_pct |
+--------------+
| 66.67 |
+--------------+
```

Two of the three tickets were resolved on the same day, so 2 / 3 = 66.67%.

Tables

Example rows — the live problem includes the full dataset.

Tickets
ticket_iduser_idopened_onresolved_on
1102024-01-052024-01-05
2112024-01-062024-01-08
3122024-01-072024-01-07

Expected output

Your answer should return 1 row with the columns same_day_pct.

Starter code (SQL)

SELECT *
FROM Tickets;

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